Technical note: Harmonising metocean model data via standard web services within small research groups
Work over the last decade has resulted in standardised web services and tools that can significantly improve the efficiency and effectiveness of working with meteorological and ocean model data. While many operational modelling centres have enabled query and access to data via common web services, m...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-05-01
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| Series: | Ocean Science |
| Online Access: | http://www.ocean-sci.net/12/633/2016/os-12-633-2016.pdf |
| _version_ | 1819015503541174272 |
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| author | R. P. Signell E. Camossi |
| author_facet | R. P. Signell E. Camossi |
| author_sort | R. P. Signell |
| collection | DOAJ |
| description | Work over the last decade has resulted in standardised web services
and tools that can significantly improve the efficiency and
effectiveness of working with meteorological and ocean model
data. While many operational modelling centres have enabled query and
access to data via common web services, most small research groups
have not. The penetration of this approach into the research
community, where IT resources are limited, can be dramatically
improved by (1) making it simple for providers to enable web service
access to existing output files; (2) using free technologies that are
easy to deploy and configure; and (3) providing standardised, service-based tools that work in existing
research environments. We present
a simple, local brokering approach that lets modellers continue to use
their existing files and tools, while
serving virtual data sets that can be used with standardised tools.
The goal of this paper is to convince modellers that a standardised framework is not
only useful but can be implemented with modest effort using free software components. We use
NetCDF Markup language for data aggregation and standardisation, the
THREDDS Data Server for data delivery, pycsw for data search, NCTOOLBOX
(MATLAB<sup>®</sup>) and Iris (Python)
for data access, and Open Geospatial Consortium Web Map Service for
data preview. We illustrate the effectiveness of this approach with
two use cases involving small research modelling groups at NATO and
USGS. |
| first_indexed | 2024-12-21T02:32:46Z |
| format | Article |
| id | doaj.art-2f8b01db018846959ae3d12fbdba7852 |
| institution | Directory Open Access Journal |
| issn | 1812-0784 1812-0792 |
| language | English |
| last_indexed | 2024-12-21T02:32:46Z |
| publishDate | 2016-05-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Ocean Science |
| spelling | doaj.art-2f8b01db018846959ae3d12fbdba78522022-12-21T19:18:52ZengCopernicus PublicationsOcean Science1812-07841812-07922016-05-0112363364510.5194/os-12-633-2016Technical note: Harmonising metocean model data via standard web services within small research groupsR. P. Signell0E. Camossi1USGS Woods Hole Coastal and Marine Science Center, Woods Hole, MA, USANATO Science & Technology Organization, Centre for Maritime Research and Experimentation, La Spezia, ItalyWork over the last decade has resulted in standardised web services and tools that can significantly improve the efficiency and effectiveness of working with meteorological and ocean model data. While many operational modelling centres have enabled query and access to data via common web services, most small research groups have not. The penetration of this approach into the research community, where IT resources are limited, can be dramatically improved by (1) making it simple for providers to enable web service access to existing output files; (2) using free technologies that are easy to deploy and configure; and (3) providing standardised, service-based tools that work in existing research environments. We present a simple, local brokering approach that lets modellers continue to use their existing files and tools, while serving virtual data sets that can be used with standardised tools. The goal of this paper is to convince modellers that a standardised framework is not only useful but can be implemented with modest effort using free software components. We use NetCDF Markup language for data aggregation and standardisation, the THREDDS Data Server for data delivery, pycsw for data search, NCTOOLBOX (MATLAB<sup>®</sup>) and Iris (Python) for data access, and Open Geospatial Consortium Web Map Service for data preview. We illustrate the effectiveness of this approach with two use cases involving small research modelling groups at NATO and USGS.http://www.ocean-sci.net/12/633/2016/os-12-633-2016.pdf |
| spellingShingle | R. P. Signell E. Camossi Technical note: Harmonising metocean model data via standard web services within small research groups Ocean Science |
| title | Technical note: Harmonising metocean model data via standard web services within small research groups |
| title_full | Technical note: Harmonising metocean model data via standard web services within small research groups |
| title_fullStr | Technical note: Harmonising metocean model data via standard web services within small research groups |
| title_full_unstemmed | Technical note: Harmonising metocean model data via standard web services within small research groups |
| title_short | Technical note: Harmonising metocean model data via standard web services within small research groups |
| title_sort | technical note harmonising metocean model data via standard web services within small research groups |
| url | http://www.ocean-sci.net/12/633/2016/os-12-633-2016.pdf |
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